Vice President, Quants Data Steward
What is the opportunity?
Performs statistical analyses and models development to support decision‑making by running statistical strategies and working with various asset classes. Manages 2 or more specialized departments comprised of supervisors, managers, professionals, and/or large numbers of operational support employees.
What will you do?The VP Quant Data Steward supports risk reporting within FO and Risk IT systems for the following areas:
Data Profiling and Business Analysis- Develop data approach and use cases for data monitoring, profiling and integration on various risk reporting feeds
- Work independently to provide analysis and requirements, and partner with technology to provide direction for data quality management
- Identify, analyze and apply data profiling/quality rules on new projects aligned to business strategies
- Collaborate with technology and business partners to analyze data issues and ensure remediation according to established SLAs
- Develop a control and governance framework and become data steward for front office production processes
- Utilize a standard change playbook and become Change Stewards helping to expedite onboarding of new products
- Execute Data Governance procedures according to a data governance framework to satisfy business drivers and objectives
- Implement processes aligned to data information management standards and ensure data quality requirements are developed and executed
- Assume ownership of data issues change governance process and execute data quality governance processes to remediate issues
- Develop and maintain knowledge of the data available from upstream sources and analyze and map upstream source data in support of project delivery activities and data initiatives
- Design of the EODc schema on new products
- Capital Market’s Data Architecture
- Common Enterprise Product Taxonomy
- Capital Markets & Risk Data Lakes
- Market Data Management and historical Market Data, and remediation of legacy data issues impacting the quality of risk reporting
- Minimum 10 years supporting Capital Markets in multiple asset classes
- Understanding of the SDLC/QA and Agile process / methodologies
- Front‑office trading systems, risk systems, or trading operations systems experience
- Requirements analysis and specifications, and logical data models experience
- Identification of critical data elements and data quality rules definitions
- Strong Capital Markets Product knowledge in various asset classes
- Solid understanding of Risk and pricing valuations
- Degree or training in computer science and/or mathematics would be preferred
- Experience in enterprise information strategy and data governance
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high‑performing team
- A world‑class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.
RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging, and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Qualified applicants may be contacted to review their resume in more detail.
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